Cen Chen - RankMe

105 papers A* 16A 4B 4C 1Journal 72Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	PointShuffler: Accelerating Point Cloud Neural Networks on General-Purpose GPUs. EuroSys Yangfan Li, Zhengjie Jin, Yue Tian, Mengquan Li, Fengxiao Tang, Ming Zhao, Cen Chen
2026	A*	`conf`	RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior. AAAI Junyao Yang, Jianwei Wang, Huiping Zhuang, Cen Chen, Ziqian Zeng
2025	J	`jnl`	ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior. CoRR Weikai Lu, Ziqian Zeng, Kehua Zhang, Haoran Li, Huiping Zhuang, Ruidong Wang, Cen Chen, Hao Peng
2025	J	`jnl`	An Adaptive and Scalable Framework for Resource-Efficient Deployment of Mixture of Experts in LLM-Based Intelligent IoT Networks. IEEE Internet Things J. Chengxu Liu, Yangfan Li, Cen Chen, Hailan Kuang, Xiaolin Ma, Xiaofeng Zou, Jing Liu, Zeyu Lu, Zhaoyuan Zhang, Xinhua Liu
2025	A*	`conf`	Analytic Continual Test-Time Adaptation for Multi-Modality Corruption. ACM Multimedia Yufei Zhang, Yicheng Xu, Hongxin Wei, Zhiping Lin, Xiaofeng Zou, Cen Chen, Huiping Zhuang
2025	J	`jnl`	CST-ViT: Cascaded Spatio-Temporal Redundancy Elimination for Efficient Vision Transformers on Edge IoT Devices. IEEE Internet Things J. Qinyu Wang, Xiaofeng Zou, Chuang Li, Yujie Peng, Heshi Wang, Yanhua Wen, Minaer Yeerlan, Cen Chen
2025	J	`jnl`	Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints. CoRR Zhengdong Lu, Weikai Lu, Yiling Tao, Yun Dai, Zixuan Chen, Huiping Zhuang, Cen Chen, Hao Peng, Ziqian Zeng
2025	J	`jnl`	Efficient Message Passing Algorithm and Architecture Co-Design for Graph Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. Xiaofeng Zou, Cen Chen, Luochuan Zhang, Shengyang Li, Joey Tianyi Zhou, Wei Wei, Kenli Li
2025	J	`jnl`	Efficient Resource Allocation Algorithm for Maximizing Operator Profit in 5G Edge Computing Network. J. Grid Comput. Jing Liu, Yuting Huang, Chunhua Deng, Longxin Zhang, Cen Chen, Keqin Li
2025	J	`jnl`	GSDNet: Revisiting Incomplete Multimodal-Diffusion from Graph Spectrum Perspective for Conversation Emotion Recognition. CoRR Yuntao Shou, Jun Yao, Tao Meng, Wei Ai, Cen Chen, Keqin Li
2025	A*	`conf`	GSDNet: Revisiting Incomplete Multimodality-Diffusion Emotion Recognition from the Perspective of Graph Spectrum. IJCAI Yuntao Shou, Jun Yao, Tao Meng, Wei Ai, Cen Chen, Keqin Li
2025	—	`conf`	GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. ACL (1) Tao Zhang, Ziqian Zeng, YuxiangXiao YuxiangXiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan
2025	A*	`conf`	L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning. ICML Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang
2025	J	`jnl`	L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning. CoRR Xiang Zhang, Run He, Jiao Chen, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang
2025	J	`jnl`	MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning. CoRR Tao Zhang, Ziqian Zeng, Hao Peng, Huiping Zhuang, Cen Chen
2025	J	`jnl`	Online Analytic Exemplar-Free Continual Learning With Large Models for Imbalanced Autonomous Driving Task. IEEE Trans. Veh. Technol. Huiping Zhuang, Di Fang, Kai Tong, Yuchen Liu, Ziqian Zeng, Xu Zhou, Cen Chen
2025	—	`conf`	PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. ACL (1) Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen
2025	J	`jnl`	RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior. CoRR Junyao Yang, Jianwei Wang, Huiping Zhuang, Cen Chen, Ziqian Zeng
2025	J	`jnl`	REAL: Representation enhanced analytic learning for exemplar-free class-incremental learning. Knowl. Based Syst. Run He, Di Fang, Yizhu Chen, Kai Tong, Cen Chen, Yi Wang, Lap-Pui Chau, Huiping Zhuang
2025	J	`jnl`	ReViT: Vision Transformer Accelerator With Reconfigurable Semantic-Aware Differential Attention. IEEE Trans. Computers Xiaofeng Zou, Cen Chen, Hongen Shao, Qinyu Wang, Xiaobin Zhuang, Yangfan Li, Keqin Li
2025	A*	`conf`	RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis. EMNLP Jianwei Wang, Chengming Shi, Junyao Yang, Haoran Li, Qianli Ma, Huiping Zhuang, Cen Chen, Ziqian Zeng
2025	J	`jnl`	RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis. CoRR Jianwei Wang, Junyao Yang, Haoran Li, Huiping Zhuang, Cen Chen, Ziqian Zeng
2025	—	`conf`	SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings. ACL (1) Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng
2025	J	`jnl`	SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings. CoRR Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng
2025	A*	`conf`	Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning. ICML Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang
2025	J	`jnl`	Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning. CoRR Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang
2025	J	`jnl`	SimDiff: Point Cloud Acceleration by Utilizing Spatial Similarity and Differential Execution. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yangfan Li, Mengquan Li, Cen Chen, Xiaofeng Zou, Hongen Shao, Fengxiao Tang, Kenli Li
2024	J	`jnl`	AIR: Analytic Imbalance Rectifier for Continual Learning. CoRR Di Fang, Yinan Zhu, Runze Fang, Cen Chen, Ziqian Zeng, Huiping Zhuang
2024	J	`jnl`	AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption. CoRR Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau
2024	J	`jnl`	An Intelligent Edge-Cloud Collaborative Framework for Communication Security in Distributed Cyber-Physical Systems. IEEE Netw. Cen Chen, Yangfan Li, Qinyu Wang, XuLei Yang, Xiaokang Wang, Laurence T. Yang
2024	J	`jnl`	Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens. CoRR Ziqian Zeng, Jiahong Yu, Qianshi Pang, Zihao Wang, Huiping Zhuang, Cen Chen
2024	A*	`conf`	ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. AAAI Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen
2024	A*	`conf`	DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning. AAAI Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin
2024	J	`jnl`	DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning. CoRR Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin
2024	J	`jnl`	Efficient Point Cloud Video Recognition via Spatio-Temporal Pruning for MEC-Based Consumer Applications. IEEE Trans. Consumer Electron. Cen Chen, Songyu Xie, Jing Liu, Zhongyao Cheng, Ziqian Zeng, Huiping Zhuang
2024	J	`jnl`	Efficient Vision Transformer for Human-Centric AIoT Applications Through Token Tracking Assignment. IEEE Trans. Consumer Electron. Chuang Li, Yujie Peng, Gang Liu, Yangfan Li, XuLei Yang, Cen Chen
2024	J	`jnl`	Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge. CoRR Weikai Lu, Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Zelin Chen, Huiping Zhuang, Cen Chen
2024	A*	`conf`	F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning. NeurIPS Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau
2024	J	`jnl`	G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning. CoRR Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen
2024	A*	`conf`	GACL: Exemplar-Free Generalized Analytic Continual Learning. NeurIPS Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen
2024	J	`jnl`	GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. CoRR Tao Zhang, Ziqian Zeng, Yuxiang Xiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan
2024	J	`jnl`	HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection. Sci. China Inf. Sci. Wei Wei, Sijin Chen, Cen Chen, Heshi Wang, Jing Liu, Zhongyao Cheng, Xiaofeng Zou
2024	C	`conf`	Hybrid Explainable Network Intrusion Detection Framework Based on Shapley Additive Explanations. ISPA Sijin Chen, Jing Liu, Cen Chen, Songyu Xie, Zhongyao Cheng
2024	J	`jnl`	Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task. CoRR Huiping Zhuang, Di Fang, Kai Tong, Yuchen Liu, Ziqian Zeng, Xu Zhou, Cen Chen
2024	J	`jnl`	PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. CoRR Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Huiping Zhuang, Cen Chen
2024	J	`jnl`	REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning. CoRR Run He, Huiping Zhuang, Di Fang, Yizhu Chen, Kai Tong, Cen Chen
2024	J	`jnl`	Scalable Heterogeneous Scheduling Based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. Xiaofeng Zou, Cen Chen, Peiying Lin, Luochuan Zhang, Yanwu Xu, Wenjie Zhang
2024	J	`jnl`	Toward Compact and Robust Model Learning Under Dynamically Perturbed Environments. IEEE Trans. Circuits Syst. Video Technol. Hui Luo, Zhuangwei Zhuang, Yuanqing Li, Mingkui Tan, Cen Chen, Jianlin Zhang
2023	J	`jnl`	Accelerating Attention Mechanism on FPGAs based on Efficient Reconfigurable Systolic Array. ACM Trans. Embed. Comput. Syst. Wenhua Ye, Xu Zhou, Joey Zhou, Cen Chen, Kenli Li
2023	B	`conf`	COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. ICIP Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, XuLei Yang
2023	A*	`conf`	CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation. ICCV Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, Xunlong Xiao, Tianhang Xiang, Cen Chen, Jingdong Wang, Mingkui Tan
2023	J	`jnl`	CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation. CoRR Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, Xunlong Xiao, Tianhang Xiang, Cen Chen, Jingdong Wang, Mingkui Tan
2023	J	`jnl`	Cascade Graph Neural Networks for Few-Shot Learning on Point Clouds. IEEE Trans. Intell. Transp. Syst. Yangfan Li, Cen Chen, Weiquan Yan, Zhongyao Cheng, Hui Li Tan, Wenjie Zhang
2023	J	`jnl`	CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. IEEE J. Biomed. Health Informatics Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li
2023	J	`jnl`	CoRec: An Efficient Internet Behavior-based Recommendation Framework with Edge-cloud Collaboration on Deep Convolution Neural Networks. ACM Trans. Sens. Networks Yangfan Li, Kenli Li, Wei Wei, Tianyi Zhou, Cen Chen
2023	J	`jnl`	ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. CoRR Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen
2023	J	`jnl`	DGSLN: Differentiable graph structure learning neural network for robust graph representations. Inf. Sci. Xiaofeng Zou, Kenli Li, Cen Chen, XuLei Yang, Wei Wei, Keqin Li
2023	J	`jnl`	Intelligent energy-efficient scheduling with ant colony techniques for heterogeneous edge computing. J. Parallel Distributed Comput. Jing Liu, Pei Yang, Cen Chen
2023	J	`jnl`	Learning discriminative multi-relation representations for multimodal sentiment analysis. Inf. Sci. Zemin Tang, Qi Xiao, Xu Zhou, Yangfan Li, Cen Chen, Kenli Li
2023	J	`jnl`	Maximizing the number of completed tasks in MEC considering time and energy constraints. Soft Comput. Haijian Yu, Jing Liu, Chunhua Deng, Cen Chen, Keqin Li
2023	A*	`conf`	Point Cloud Acceleration by Exploiting Geometric Similarity. MICRO Cen Chen, Xiaofeng Zou, Hongen Shao, Yangfan Li, Kenli Li
2023	J	`jnl`	Robust Edge AI for Real-Time Industry 4.0 Applications in 5G Environment. IEEE Commun. Stand. Mag. Xiaofeng Zou, Kenli Li, Joey Tianyi Zhou, Wei Wei, Cen Chen
2023	B	`conf`	Spatial and Temporal Dual-Scale Adaptive Pruning for Point Cloud Videos. ICPADS Songyu Xie, Jing Liu, Cen Chen, Zhongyao Cheng
2023	J	`jnl`	Toward Communication-Efficient Digital Twin via AI-Powered Transmission and Reconstruction. IEEE J. Sel. Areas Commun. Mi Li, Cen Chen, XuLei Yang, Joey Tianyi Zhou, Tao Zhang, Yangfan Li
2022	J	`jnl`	A Hybrid Deep Learning Based Framework for Component Defect Detection of Moving Trains. IEEE Trans. Intell. Transp. Syst. Cen Chen, Kenli Li, Zhongyao Cheng, Francesco Piccialli, Steven C. H. Hoi, Zeng Zeng
2022	—	`conf`	Contrastive R-CNN for Incremental Learning in Object Detection. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Peisheng Qian, Kai Zheng, Cen Chen, Zhongyao Cheng, Li Wang, Hui Li Tan
2022	J	`jnl`	Determinantal point process-based new radio unlicensed link scheduling for multi-access edge computing. World Wide Web Chigang Xing, Yangfan Li, Cen Chen, Fangmin Li, Zeng Zeng, Xiaofeng Zou
2022	J	`jnl`	Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains. IEEE Trans. Cybern. Cen Chen, Xiaofeng Zou, Zeng Zeng, Zhongyao Cheng, Le Zhang, Steven C. H. Hoi
2022	J	`jnl`	Hierarchical Graph Neural Networks for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Cen Chen, Kenli Li, Wei Wei, Joey Tianyi Zhou, Zeng Zeng
2022	J	`jnl`	Hierarchical Semantic Graph Reasoning for Train Component Detection. IEEE Trans. Neural Networks Learn. Syst. Cen Chen, Kenli Li, Xiaofeng Zou, Zhongyao Cheng, Wei Wei, Qi Tian, Zeng Zeng
2022	J	`jnl`	Introduction to the Special Issue on edge intelligence: Neurocomputing meets edge computing. Neurocomputing Zeng Zeng, Cen Chen, Bharadwaj Veeravalli, Keqin Li, Joey Tianyi Zhou
2022	J	`jnl`	Latency-Driven Model Placement for Efficient Edge Intelligence Service. IEEE Trans. Serv. Comput. Peiying Lin, Zhichen Shi, Zheng Xiao, Cen Chen, Kenli Li
2022	B	`conf`	Latency-driven Model Placement for Efficient Edge Intelligence Service. SERVICES Peiying Lin, Zhichen Shi, Zheng Xiao, Cen Chen, Kenli Li
2022	J	`jnl`	Memory-Assistant Collaborative Language Understanding for Artificial Intelligence of Things. IEEE Trans. Ind. Informatics Ming Yan, Cen Chen, Jiawei Du, Xi Peng, Joey Tianyi Zhou, Zeng Zeng
2022	J	`jnl`	Modeling Temporal Patterns with Dilated Convolutions for Time-Series Forecasting. ACM Trans. Knowl. Discov. Data Yangfan Li, Kenli Li, Cen Chen, Xu Zhou, Zeng Zeng, Keqin Li
2022	J	`jnl`	Multi-Task Y-Shaped Graph Neural Network for Point Cloud Learning in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Xiaofeng Zou, Kenli Li, Yangfan Li, Wei Wei, Cen Chen
2022	J	`jnl`	Multilevel Attention Based U-Shape Graph Neural Network for Point Clouds Learning. IEEE Trans. Ind. Informatics Xiaofeng Zou, Kenli Li, Cen Chen
2022	A*	`conf`	ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator. HPCA Cen Chen, Kenli Li, Yangfan Li, Xiaofeng Zou
2022	J	`jnl`	Robust Traffic Prediction From Spatial-Temporal Data Based on Conditional Distribution Learning. IEEE Trans. Cybern. Zeng Zeng, Wei Zhao, Peisheng Qian, Yingjie Zhou, Ziyuan Zhao, Cen Chen, Cuntai Guan
2022	—	`conf`	Topology-Aware Quantization Strategy via Personalized PageRank for Graph Neural Networks. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Yuxuan Chen, Yilong Guo, Zeng Zeng, Xiaofeng Zou, Yangfan Li, Cen Chen
2021	J	`jnl`	Attention-Aware Encoder-Decoder Neural Networks for Heterogeneous Graphs of Things. IEEE Trans. Ind. Informatics Yangfan Li, Cen Chen, Mingxing Duan, Zeng Zeng, Kenli Li
2021	A*	`conf`	DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks. DAC Cen Chen, Kenli Li, Xiaofeng Zou, Yangfan Li
2021	J	`jnl`	G-CNN and double-referenced thresholding for detecting time series anomalies. J. Intell. Fuzzy Syst. Liping Li, Zean Tian, Kenli Li, Cen Chen
2021	J	`jnl`	Introduction to the Special issue on Advances of neurocomputing for smart cities (NEUROCOM for smart cities). Neurocomputing Kenli Li, Keqin Li, Cen Chen, Xiaokang Wang
2021	J	`jnl`	Multiple local 3D CNNs for region-based prediction in smart cities. Inf. Sci. Yibi Chen, Xiaofeng Zou, Kenli Li, Keqin Li, XuLei Yang, Cen Chen
2021	A	`conf`	Work in Progress: Path-based Graph Partition for Parallel Hardware-accelerated Functional Verification. RTAS Peiying Lin, Kenli Li, Zheng Xiao, Cen Chen, Siyang Yu
2021	A	`conf`	Work in Progress: Topology-based Multilevel Algorithm for Large-scale Task Scheduling in Clouds. RTAS Minjia Li, Yikun Hu, Cen Chen, Zheng Xiao, Chubo Liu, Kenli Li
2020	J	`jnl`	A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection. CoRR Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang, Zeng Zeng
2020	J	`jnl`	A hierarchical deep convolutional neural network and gated recurrent unit framework for structural damage detection. Inf. Sci. Jianxi Yang, Likai Zhang, Cen Chen, Yangfan Li, Ren Li, Guiping Wang, Shixin Jiang, Zeng Zeng
2020	J	`jnl`	A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks. Neurocomputing Xiao Fu, Kenli Li, Jing Liu, Keqin Li, Zeng Zeng, Cen Chen
2020	—	`conf`	An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments. HPCC/DSS/SmartCity Pei Yang, Jing Liu, Cen Chen, Yucheng Ding, Chunhua Deng, Zeng Zeng
2020	J	`jnl`	Citywide Traffic Flow Prediction Based on Multiple Gated Spatio-temporal Convolutional Neural Networks. ACM Trans. Knowl. Discov. Data Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Keqin Li, Zeng Zeng
2020	J	`jnl`	Multi-task cascade deep convolutional neural networks for large-scale commodity recognition. Neural Comput. Appl. Xiaofeng Zou, Liqian Zhou, Kenli Li, Aijia Ouyang, Cen Chen
2020	J	`jnl`	WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests. IEEE Internet Things J. Le Zhang, Zhenghua Chen, Wei Cui, Bing Li, Cen Chen, Zhiguang Cao, Kaizhou Gao
2019	A*	`conf`	Gated Residual Recurrent Graph Neural Networks for Traffic Prediction. AAAI Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng
2019	—	`conf`	LHCnn: A Novel Efficient Multivariate Time Series Prediction Framework Utilizing Convolutional Neural Networks. HPCC/SmartCity/DSS Chengxi Liu, Kenli Li, Jing Liu, Cen Chen
2019	J	`jnl`	Multiple convolutional neural networks for multivariate time series prediction. Neurocomputing Kang Wang, Kenli Li, Liqian Zhou, Yikun Hu, Zhongyao Cheng, Jing Liu, Cen Chen
2018	A*	`conf`	Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction. ICDM Cen Chen, Kenli Li, Sin G. Teo, Guizi Chen, Xiaofeng Zou, XuLei Yang, Ramaseshan C. Vijay, Jiashi Feng, Zeng Zeng
2018	J	`jnl`	FlinkCL: An OpenCL-Based In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. IEEE Trans. Computers Cen Chen, Kenli Li, Aijia Ouyang, Keqin Li
2018	J	`jnl`	GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. IEEE Trans. Parallel Distributed Syst. Cen Chen, Kenli Li, Aijia Ouyang, Zeng Zeng, Keqin Li
2017	J	`jnl`	A parallel approximate SS-ELM algorithm based on MapReduce for large-scale datasets. J. Parallel Distributed Comput. Cen Chen, Kenli Li, Aijia Ouyang, Keqin Li
2017	—	`conf`	A parallel randomized neural network on in-memory cluster computing for big data. ICNC-FSKD Tongwu Dai, Kenli Li, Cen Chen
2017	A	`conf`	DHCRF: A Distributed Conditional Random Field Algorithm on a Heterogeneous CPU-GPU Cluster for Big Data. ICDCS Wei Ai, Kenli Li, Cen Chen, Jiwu Peng, Keqin Li
2017	J	`jnl`	GPU-Accelerated Parallel Hierarchical Extreme Learning Machine on Flink for Big Data. IEEE Trans. Syst. Man Cybern. Syst. Cen Chen, Kenli Li, Aijia Ouyang, Zhuo Tang, Keqin Li
2016	B	`conf`	GFlink: An In-Memory Computing Architecture on Heterogeneous CPU-GPU Clusters for Big Data. ICPP Cen Chen, Kenli Li, Aijia Ouyang, Zhuo Tang, Keqin Li